scholarly journals Exhaled Breath Analysis in Diagnostics of Cardiovascular Diseases

Kardiologiia ◽  
2019 ◽  
Vol 59 (7) ◽  
pp. 61-67 ◽  
Author(s):  
A. A. Bykova ◽  
L. K. Malinovskaya ◽  
P. Sh. Chomakhidze ◽  
O. V. Trushina ◽  
Y. R. Shaltaeva ◽  
...  
Keyword(s):  
Carbon Monoxide ◽  
Clinical Practice ◽  
Cardiovascular Diseases ◽  
Real Time ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Secretory Function ◽  
Pathological Conditions ◽  
Exhaled Breath Analysis ◽  
Modern Technologies

Exhaled breath analysis is a novel tool for diagnostics of different diseases. Taking into account the secretory function of the lungs, the composition of exhaled breath is different in physiological and pathological conditions. In this review we consider of some substances which content vary in cardiovascular diseases – pentane, isoprene, carbon monoxide and trimethylamine. Modern technologies allow to move the analysis of exhaled breath from research laboratories into clinical practice. Thus, a new tool for real time of screening various cardiovascular diseases has appeared in the arsenal of physicians.

Exhaled Breath Analysis by Real-Time Mass Spectrometry

2019 ◽  
Author(s):  
L. Bryant ◽  
R. Cordell ◽  
M.J. Wilde ◽  
L. Carr ◽  
W. Ibrahim ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Real Time ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Exhaled Breath Analysis

Real-time exhaled breath analysis identifies altered metabolic signature in cystic fibrosis

2017 ◽  
Author(s):  
Thomas Gaisl ◽  
Lukas Bregy ◽  
Nina Stebler ◽  
Martin Gaugg ◽  
Tobias Bruderer ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Real Time ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Metabolic Signature ◽  
Exhaled Breath Analysis

119 Exhaled breath analysis by real-time mass spectrometry in patients with pulmonary fibrosis

CHEST Journal ◽  
2017 ◽  
Vol 151 (5) ◽  
pp. A16
Author(s):  
P. Sinues ◽  
Y. Nussbaumer-Ochsner ◽  
M.T. Gaugg ◽  
L. Bregy ◽  
A. Engler ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Pulmonary Fibrosis ◽  
Real Time ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Exhaled Breath Analysis

Real-time exhaled breath analysis in patients with cystic fibrosis and controls

2018 ◽  
Vol 12 (3) ◽  
pp. 036013 ◽  
Author(s):  
Thomas Gaisl ◽  
Lukas Bregy ◽  
Nina Stebler ◽  
Martin T Gaugg ◽  
Tobias Bruderer ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Real Time ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Exhaled Breath Analysis

P205 Real-time exhaled breath analysis identifies altered metabolic signature in cystic fibrosis

CHEST Journal ◽  
2017 ◽  
Vol 151 (5) ◽  
pp. A104
Author(s):  
T. Gaisl ◽  
L. Bregy ◽  
N. Stebler ◽  
M. Gaugg ◽  
T. Bruderer ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Real Time ◽  
Breath Analysis ◽  
Exhaled Breath ◽  
Metabolic Signature ◽  
Exhaled Breath Analysis

Exhaled breath analysis by using GC-MS and «electronic nose» for lung cancer diagnostics

2021 ◽  
Author(s):  
Elina Gashimova ◽  
Anna Osipova ◽  
Temerdashev Azamat ◽  
Vladimir Porkhanov ◽  
Igor Polyakov ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Clinical Practice ◽  
Electronic Nose ◽  
Breath Analysis ◽  
Cancer Diagnostics ◽  
Exhaled Breath ◽  
Potential Utility ◽  
Exhaled Breath Analysis

Exhaled breath analysis is interesting and promising approach for diagnostics of various diseases. Being noninvasive, convenient and simple, this approach has tremendous potential utility for further translation into clinical practice....

scholarly journals Real Time Breath Analysis Using Portable Gas Chromatography for Adult Asthma Phenotypes

Metabolites ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 265
Author(s):  
Ruchi Sharma ◽  
Wenzhe Zang ◽  
Menglian Zhou ◽  
Nicole Schafer ◽  
Lesa A. Begley ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Real Time ◽  
Rapid Assessment ◽  
Principal Component ◽  
Corticosteroid Treatment ◽  
Breath Analysis ◽  
Blood Eosinophil ◽  
Exhaled Breath ◽  
Respiratory Illnesses ◽  
Linear Discriminant

Asthma is heterogeneous but accessible biomarkers to distinguish relevant phenotypes remain lacking, particularly in non-Type 2 (T2)-high asthma. Moreover, common clinical characteristics in both T2-high and T2-low asthma (e.g., atopy, obesity, inhaled steroid use) may confound interpretation of putative biomarkers and of underlying biology. This study aimed to identify volatile organic compounds (VOCs) in exhaled breath that distinguish not only asthmatic and non-asthmatic subjects, but also atopic non-asthmatic controls and also by variables that reflect clinical differences among asthmatic adults. A total of 73 participants (30 asthma, eight atopic non-asthma, and 35 non-asthma/non-atopic subjects) were recruited for this pilot study. A total of 79 breath samples were analyzed in real-time using an automated portable gas chromatography (GC) device developed in-house. GC-mass spectrometry was also used to identify the VOCs in breath. Machine learning, linear discriminant analysis, and principal component analysis were used to identify the biomarkers. Our results show that the portable GC was able to complete breath analysis in 30 min. A set of nine biomarkers distinguished asthma and non-asthma/non-atopic subjects, while sets of two and of four biomarkers, respectively, further distinguished asthmatic from atopic controls, and between atopic and non-atopic controls. Additional unique biomarkers were identified that discriminate subjects by blood eosinophil levels, obese status, inhaled corticosteroid treatment, and also acute upper respiratory illnesses within asthmatic groups. Our work demonstrates that breath VOC profiling can be a clinically accessible tool for asthma diagnosis and phenotyping. A portable GC system is a viable option for rapid assessment in asthma.

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